Many systems like autonomous vehicle fleets and drone swarms can be modeled as Multi-Agent Reinforcement Learning (MARL) tasks, which deal with how multiple machines can learn to collaborate, ...

Over the last decade or so, the science community has been concerned about what has been called the “reproducibility crisis”: the apparent failure of some significant experiments to produce the same ...

The hunt for biomarkers—measurable indicators that provide information about a biological or clinical state—has been plagued by problems with reproducibility. Many studies that identify potential ...

The ability to replicate research findings remains a mainstay of the scientific process, allowing experts to assess and challenge an evolving evidence base. But a growing body of research shows that ...

The use of images in scientific papers is more popular than ever, but there have been no common standards for their publication -- until now. Images created by a plethora of high-tech instruments are ...

Dr. Markus Gershater explains how High Dimensional Experimentation (HDE) revolutionizes assay development by replacing one-factor-at-a-time (OFAT) methods with automated, multivariate workflows.

"If researchers want to build on knowledge, they should be able to replicate results to fully comprehend the research that has been done before," says Daniel J. Stekhoven, Ph.D., director of NEXUS ...

Clarissa Carneiro, a meta scientist and currently the co-executive director at the Brazilian Reproducibility Network, experienced the reproducibility challenge firsthand. As an undergraduate student ...